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The role of Data Scientist in 2022

  As it was mentioned in previous articles, data analysis is used for data processing and data manipulation which are the processes of changing or altering data in order to organize them and make them more understandable.   The 4 types of analysis  have been briefly analyzed but in order to be able to use them, you will need programming knowledge. Due to the enormous number of structured and unstructured data, it is necessary to process them using advance technology to derive meanigful information. The programming languages and other BI tools, are the most important factors to accomplish the data analysis. So, every data scientist or analyst will need to know abouth the aforementioned. What are they assuming about data scientist role? One of the analysis types is the predictive analysis, which involves the implementation and usage of machine learning algorithms to predict or classify the data. Regarding the role description, what is being advertised and what a d...
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The 4 Types of Data Analytics

  Analysis, the key of success Analysis of data is the key to become successful as human, and even better, to succeed on running a business. When data are used effectively in an efficient way you can get fast and clear observations on the past performance of your life and your business, and then to make better decisions for the future. There are million ways that the data analytics can support you, in any level of your business in order to achieve any target of your choice. However, to succeed your goals, you need to know the four types of data analysis that are commonly used in every business in every industry. Every category has its own target and they are connected to each other. What's even more, every category is an extension of the other so you need to have a consolidated view and understanding of each category to find the seeking outcome. As you can see at the below graph demonstrates the complexity of each category and added-value contribution. At the same time you can see ...

Data Analytics and Science, can they coexist or not?

The high level technology has been expanded Technological achievements have impressed everyone the last three decades, especially when it comes to the storing in big electronic storages data without the need of paper and ink. This was the result of creating unmistakable databases of data, without the sloppy human hand and pointless effort. In this high level storages, the necessity of the data analysis field, has been erected. Industries of every field have evolved as a result to have the need of having someone to analyze their data to create a clear view of where they stand and where they are heading.  By manipulating the enormous and complicated structured and unstructured data are stored in the mentioned electronic views such as databases and cloud, different kind of techniques and methodologies have been developed to create a peaceful environment for all the analyst. Analysts in some cases are called "The story tellers" because are able from unrelated data to create meani...

Effectiveness & Efficiency in Data Analysis

The evolutionary world of Data Analysis The evolution of humanity depends on the analysis of the past data, using techniques such as processing, evaluation and  visualization . This is a fact, as we can see that the people evolve and try to improve the humanity every day through the technological achievements. What do you think? That the human beings remain the same from the beginning of time? Of Course NOT! Evolution in every aspect of the life, has dominate the purpose of every living human being.  Every day, scientists, analysts and pretty much everybody from all around the world, tries to dig deeper and analyze the past to improve the future and avoiding the possible repetition of history, especially when we are considering the unfortune situations and topics like wars, economic crisis and technology. Everyone can think "Why humanity has breakthrough the last century?". Watching and observing the past, people tend to improve their selves and their beliefs each time that t...

The involvement of data analysis in everyone's life

"Everything is about Statistics"  Is this statement true or false? Some people think that by analysing everything with statistics, the future or the current situation can be accurately predicted. However, if everything it was a simulation, the mentioned statement should be 100% correct. But what is come when the analysing subject, is the "humans"? Human beings behave with their own decisions, act with their own will and understand whatever they want to understand.  In this case for every human being millions of data are produced, and most of the times everything is stored somewhere in the world wide web, or otherwise, internet. These data can be processed, then to analysed and finally to provide meaningful insights for every aspect of our concern. Using the correct way of analysis and the correct tools and of course a correct statistical algorithm, an estimate result of their behavior, can be calculated. Just you should have in mind that, you will never be close t...